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    TMI
    2008
    91views more  TMI 2008»
    MRI-Based Automated Computer Classification of Probable AD Versus Normal Controls
    13 years 10 months ago
    MRI-Based Automated Computer Classification of Probable AD Versus Normal Controls
    Download  www.hal.inserm.fr
    Automated computer classification (ACC) techniques are needed to facilitate physician's diagnosis of complex diseases in individual patients. We provide an example of ACC usin...
    Simon Duchesne, A. Caroli, C. Geroldi, Christian B...
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    ACL
    2010
    140views Computational Linguistics» more  ACL 2010»
    Error Detection for Statistical Machine Translation Using Linguistic Features
    13 years 8 months ago
    Error Detection for Statistical Machine Translation Using Linguistic Features
    Download  www1.i2r.a-star.edu.sg
    Automatic error detection is desired in the post-processing to improve machine translation quality. The previous work is largely based on confidence estimation using system-based ...
    Deyi Xiong, Min Zhang, Haizhou Li
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    VTS
    2006
    IEEE
    108views Hardware» more  VTS 2006»
    Bridging the Accuracy of Functional and Machine-Learning-Based Mixed-Signal Testing
    14 years 4 months ago
    Bridging the Accuracy of Functional and Machine-Learning-Based Mixed-Signal Testing
    Download  www.eng.yale.edu
    Abstract— Numerous machine-learning-based test methodologies have been proposed in recent years as a fast alternative to the standard functional testing of mixed-signal/RF integr...
    Haralampos-G. D. Stratigopoulos, Yiorgos Makris
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    NIPS
    2004
    97views Information Technology» more  NIPS 2004»
    Sub-Microwatt Analog VLSI Support Vector Machine for Pattern Classification and Sequence Estimation
    13 years 11 months ago
    Sub-Microwatt Analog VLSI Support Vector Machine for Pattern Classification and Sequence Estimation
    Download  books.nips.cc
    An analog system-on-chip for kernel-based pattern classification and sequence estimation is presented. State transition probabilities conditioned on input data are generated by an...
    Shantanu Chakrabartty, Gert Cauwenberghs
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    TR
    2010
    204views Hardware» more  TR 2010»
    Anomaly Detection Through a Bayesian Support Vector Machine
    13 years 5 months ago
    Anomaly Detection Through a Bayesian Support Vector Machine
    Download  www6.cityu.edu.hk
    This paper investigates the use of a one-class support vector machine algorithm to detect the onset of system anomalies, and trend output classification probabilities, as a way to ...
    Vasilis A. Sotiris, Peter W. Tse, Michael Pecht
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